Cover Image

Are classical deep neural networks weakly adversarially robust?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Nuolin, Wang, Linyuan, Li, Dongyang, Yan, Bin, Li, Lei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MFI-ResNet: Efficient ResNet Architecture Optimization via MeanFlow Compression and Selective Incubation
by: Sun, Nuolin, et al.
Published: (2025)

A one-step generation model with a Single-Layer Transformer: Layer number re-distillation of FreeFlow
by: Wei, Haonan, et al.
Published: (2026)

Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025)

P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors
by: David, Lucas, et al.
Published: (2023)

Spectral regularization for adversarially-robust representation learning
by: Yang, Sheng, et al.
Published: (2024)

The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
by: Bastounis, Alexander, et al.
Published: (2021)

Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
by: Fort, Stanislav, et al.
Published: (2024)

On margin-based generalization prediction in deep neural networks
by: Mouton, Coenraad
Published: (2024)

A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs
by: Stalder, Nicolas, et al.
Published: (2026)

Learning Fourier shapes to probe the geometric world of deep neural networks
by: Wang, Jian, et al.
Published: (2025)

SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction
by: Yin, Huilin, et al.
Published: (2024)

Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
by: Mumuni, Fuseinin, et al.
Published: (2024)

Efficient generative adversarial networks using linear additive-attention Transformers
by: Morales-Juarez, Emilio, et al.
Published: (2024)

Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization
by: Bassi, Pedro R. A. S., et al.
Published: (2022)

InfoGNN: End-to-end deep learning on mesh via graph neural networks
by: Gao, Ling, et al.
Published: (2025)

Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
by: Ballarin, Emanuele, et al.
Published: (2023)

Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network Design
by: Tianyuan, Liu, et al.
Published: (2024)

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
by: Perera, Maneesha, et al.
Published: (2024)

Bayesian sparsification for deep neural networks with Bayesian model reduction
by: Marković, Dimitrije, et al.
Published: (2023)

Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies
by: Wysoczanski, Artur, et al.
Published: (2024)

Towards more transferable adversarial attack in black-box manner
by: Lei, Chun Tong, et al.
Published: (2025)

Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks
by: Dahari, Amir, et al.
Published: (2021)

D2R: dual regularization loss with collaborative adversarial generation for model robustness
by: Liu, Zhenyu, et al.
Published: (2025)

A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
by: Zhong, Yihao, et al.
Published: (2024)

Aligned explanations in neural networks
by: Lobet, Corentin, et al.
Published: (2026)

Equivariant neural networks and equivarification
by: Bao, Erkao, et al.
Published: (2019)

Spectral structural distortion reveals redundant neurons in neural networks
by: Wang, Yongyu
Published: (2026)

ADBM: Adversarial diffusion bridge model for reliable adversarial purification
by: Li, Xiao, et al.
Published: (2024)

In-distribution adversarial attacks on object recognition models using gradient-free search
by: Madan, Spandan, et al.
Published: (2021)

On the explainability of max-plus neural networks
by: Enaieh, Ikhlas, et al.
Published: (2026)

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival
by: Pan, Liangrui, et al.
Published: (2024)

BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
by: Zheng, Hongwei, et al.
Published: (2024)

Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach
by: Yu, Dongyang, et al.
Published: (2023)

Characterization of topological structures in different neural network architectures
by: Świder, Paweł
Published: (2024)

Controlling diverse robots by inferring Jacobian fields with deep networks
by: Li, Sizhe Lester, et al.
Published: (2024)

Dimensions underlying the representational alignment of deep neural networks with humans
by: Mahner, Florian P., et al.
Published: (2024)

An attempt to generate new bridge types from latent space of generative adversarial network
by: Zhang, Hongjun
Published: (2024)

Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example
by: Xiao, MingXuan, et al.
Published: (2024)

Sparse components distinguish visual pathways & their alignment to neural networks
by: Marvi, Ammar I, et al.
Published: (2025)

Multi-task convolutional neural network for image aesthetic assessment
by: Soydaner, Derya, et al.
Published: (2023)